Optimization of dual-layer flow field in a water electrolyzer using a data-driven surrogate model by Lizhen Wu, Zhefei Pan, Shu Yuan, Xiaoyu Huo, Qiang Zheng, Xiaohui Yan, Liang An

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Non-Luminal Disease Score for Everolimus in Patients with Hormone Receptor‑positive and Human Epidermal Growth Factor Receptor 2-Negative Advanced Breast Cancer: A Mult... by Tan Y, Jiang H, Tian X, Ma F, Wang J, Zhang P, Xu B, Fan Y, Zhao W

“…Yujing Tan,1,* Hanfang Jiang,2,* Xinzhu Tian,1,* Fei Ma,1 Jiayu Wang,1 Pin Zhang,1 Binghe Xu,1 Ying Fan,1 Weihong Zhao3 1Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100021, People’s Republic of China; 2Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Breast Oncology, Peking University Cancer Hospital & Institute, Beijing, 100142, People’s Republic of China; 3Department of Medical Oncology, Chinese PLA General Hospital, Beijing, 100853, People’s Republic of China*These authors contributed equally to this workCorrespondence: Ying Fan; Weihong Zhao, Email fanying@cicams.ac.cn; zhaowh0818@163.comPurpose: This study aims to explore the role of the non-luminal disease score (NOLUS) for everolimus in patients with hormone receptor-positive and human epidermal growth factor receptor 2-negative (HR+/HER2-) advanced breast cancer (ABC).Methods: NOLUS has previously been established as an algorithm: NOLUS (0– 100) = − 0.45 × ER(%) − 0.28 × PR(%) + 0.27 × Ki67(%) + 73. …”
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Enhanced framework for credit card fraud detection using robust feature selection and a stacking ensemble model approach by Rahul Kumar Gupta, Asmaul Hassan, Samir Kumar Majhi, Nikhat Parveen, Abu Taha Zamani, Raju Anitha, Binayak Ojha, Abhinav Kumar Singh, Debendra Muduli

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A General Framework for CFAR Detection in PolSAR Imagery Based on Quadratic Statistics by Ziyuan Yang, Liguo Liu, Xiaoyang Hou, Yinghui Quan, Xian Zhang, Tao Liu

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Bridging big data in the ENIGMA consortium to combine non-equivalent cognitive measures by Eamonn Kennedy, Shashank Vadlamani, Hannah M. Lindsey, Pui-Wa Lei, Mary Jo-Pugh, Paul M. Thompson, David F. Tate, Frank G. Hillary, Emily L. Dennis, Elisabeth A. Wilde, for the ENIGMA Clinical Endpoints Working Group

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PAQR6 as a prognostic biomarker and potential therapeutic target in kidney renal clear cell carcinoma by Tao Zou, Zongming Jia, Jixiang Wu, Xuxu Liu, Minghao Deng, Xuefeng Zhang, Yuxin Lin, Yuxin Lin, Jigen Ping

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Combinations of multimodal neuroimaging biomarkers and cognitive test scores to identify patients with cognitive impairment by Yuriko Nakaoku, Soshiro Ogata, Kiyotaka Nemoto, Chikage Kakuta, Eri Kiyoshige, Kanako Teramoto, Kiyomasa Nakatsuka, Gantsetseg Ganbaatar, Masafumi Ihara, Kunihiro Nishimura

“…Finally, MCI identification models were developed using a penalized logistic regression model with an elastic net algorithm.ResultsAmong the 148 participants (mean age, 78.6 ± 5.2 years), 44.6% were identified as having MCI. …”
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Verrucous leukoplakia of the red border caused by the use of IQOS heated tobacco product (a case report) by H. I. Makurina, O. I. Мakarchuk, I. P. Dmytrenko, A. V. Holovkin, I. А. Sokolovska, A. S. Chornenka

“…To analyze possibility of development and describe the clinical case of the red border verrucous leukoplakia caused by the use of IQOS heated tobacco product and HEETS sticks and propose personalized clinical, diagnostic and therapeutic algorithm of a patient management. Materials and methods. …”
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IOT based wearable sensor system architecture for classifying human activity by V. Mahalakshmi, Pramod Kumar, Manisha Bhende, Ismail Keshta, Swatiben Yashvantbhai Rathod, Janjhyam Venkata Naga Ramesh

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Development of the program for sustainability of technological development of an industrial enterprise by A. E. Miller, D. O. Drozdov

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MODERN CAPABILITIES OF BREAST PATHOLOGY DIAGNOSTICS by I. V. Vysotskaya, N. V. Zabolotskaya, V. P. Letyagin, K. P. Laktionov, K. A. Chubarova, N. V. Levkina

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Machine learning-derived prognostic signature integrating programmed cell death and mitochondrial function in renal clear cell carcinoma: identification of PIF1 as a novel target by Guangyang Cheng, Zhaokai Zhou, Shiqi Li, Fu Peng, Shuai Yang, Chuanchuan Ren

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Percolation and connectivity formation in the dynamics of data citation networks in high energy physics by Sergey O. Kramarov, Oleg R. Popov, Ismail E. Dzhariev, Egor A. Petrov

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Implementasi Algoritma TOPSIS dan Metode EUCS untuk Pengujian Sistem Penilaian Kinerja Pegawai pada Laboran Fakultas Teknologi Informasi UKSW Salatiga by Andreas Arga Rinjani Saputro, Kristoko Dwi Hartomo

“…Abstract Laboratory employee is a education labor which help process learning college student within part of vocational and academic. …”
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Prevalence of Orthosomnia in a General Population Sample: A Cross-Sectional Study by Haitham Jahrami, Khaled Trabelsi, Waqar Husain, Achraf Ammar, Ahmed S. BaHammam, Seithikurippu R. Pandi-Perumal, Zahra Saif, Michael V. Vitiello

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Optimization and Estimation of the State of Charge of Lithium-Ion Batteries for Electric Vehicles by Luc Vivien Assiene Mouodo, Petros J. Axaopoulos

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Comparative Evaluation of Fractional-Order Models for Lithium-Ion Batteries Response to Novel Drive Cycle Dataset by Xinyuan Wei, Longxing Wu, Chunhui Liu, Zhiyuan Si, Xing Shu, Heng Li

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Diagnosis and rational treatment of painful diabetic peripheral neuropathy: an interdisciplinary expert consensus by Gagik R. Galstyan, Elena G. Starostina, Nikolay N. Yakhno, Irina V. Gurieva, Maxim V. Churyukanov, Igor A. Strokov, Alla Y. Tokmakova, Mikhail L. Kukushkin, Anatoly I. Martynov, Marina V. Shestakova

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Associations between exposure to multiple environmental chemicals and metabolic syndrome: A mixture analysis by Ruiqiang Li, Xiaoyi Lin, Tingyu Lu, Jiao Wang, Ying Wang, Lin Xu

“…We used machine learning methods including Boruta algorithm and least absolute shrinkage and selection operator (LASSO) regression, combined with weighted quartiles sum (WQS) regression to investigate the associations of phenols, polycyclic aromatic hydrocarbons (PAHs), metals, and phthalates with MetS and its components. …”
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Crop row centerline extraction method based on regional feature point clustering by Baofeng Ji, Hang Wang, Chunhong Dong, Song Chen, Hongtao Chen, Fazhan Tao, Ji Zhang, Huitao Fan

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